Distributed cooperative control for parallel direct current–direct current buck converters based on multi‐agent consensus theory

Zhu, Ming; Wang, He; Cheng, Yingying; Jia, Rong; Yu, Miao

doi:10.1002/asjc.2594

Cited by 3 publications

(3 citation statements)

References 32 publications

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“…Series multivariable coupled systems are widely used in industrial production, such as cascade water transfer project 2 – 6 , multi-tank liquid level control system 7 , 8 , series reactor control for chemical production 9 , 10 , vehicle following model 11 – 13 and power system 14 – 16 , which have strong typicality. If a type of control method is designed, it can realize the flexible cooperative control of the state variables of a certain link in the above application scenarios, which will have great practical value.…”

Section: Introductionmentioning

confidence: 99%

A cooperative control method and application for series multivariable coupled system

Yu,

Yang,

Wan

et al. 2024

Sci Rep

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Series multivariable coupled system is a typical controlled object in process control industry. The interaction of various state variables between multiple inputs and outputs in the system forms a complex series multivariable coupled structure. This coupled structure makes the control of a controlled object in the system affect the controlled object in the upper and lower control loop. As a result, it is difficult to control one or more control loops in the system without changing the state of other links in the system. In this paper, a cooperative control method for series multivariable coupled system is proposed. A decoupling controller is designed to remove the coupling effect caused by the interaction between stages, and the system is decoupled into several independent control loops. Differential leading PI (proportional-integral) error compensation method is introduced to ensure the following performance of the controller without static error. The proposed cooperative control method satisfies the Lyapunov stability, and has been successfully applied in the simulation experiment of cascade pumping station system of Beijing East-to-West water transfer project. The proposed method reduces the difficulty to controlling the water level of forebay of each pumping station and ensures the efficient operation of the cascade pumping station system.

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Section: Introductionmentioning

confidence: 99%

A cooperative control method and application for series multivariable coupled system

Yu,

Yang,

Wan

et al. 2024

Sci Rep

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“…Benefiting from the fully distributed nature, the cooperative control approach is applied to parallel modular DC-DC converters for current sharing [16] as well as multi-energy coupling systems for power regulation [17]. Similarly, a cooperative control scheme for voltage regulation and power sharing of parallel buck converters is proposed based on the MAS theory [18]. Furthermore, the microgrid, as an essential application scenario for converters, has extensive research on distributed control strategies.…”

Section: Introductionmentioning

confidence: 99%

Distributed cooperative control of multi‐converter systems via networks

Dai

Liu

Deng

et al. 2023

Asian Journal of Control

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Modular converters are employed for ultra‐large ship degaussing systems to improve the magnetic stealth capability. However, the degaussing performance could be compromised by the inconsistent current in various modules. Therefore, current synchronization is a crucial issue in the control of distributed multi‐converter systems (DMCSs). To meet the high requirement of such an industrial scenario, a distributed cooperative control scheme is conceived for DMCSs in this paper. The consensus and stability of the DMCS are analyzed, in contrast to existing works that only take consensus into account, and the necessary and sufficient conditions are derived with the constructed closed‐loop control system. Then, the tailor‐made controller design guideline is presented. Different cases of a cyber‐physical DMCS in the MATLAB/SimPowerSystems environment are examined to confirm the viability. Furthermore, experiments with a multi‐converter prototype system are carried out to confirm the efficiency of the proposed control method. Results from simulations and experiments are in line with the theoretical analysis, validating the efficacy.

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“…Distributed cooperative control of multiagent systems (MASs) has attracted compelling attention due to its considerable application prospect in various fields such as physics, engineering, biology, and social sciences [1][2][3][4][5]. The main objective is to develop a control protocol that uses only available local information such that all agents can reach an agreement or track the leader's trajectory.…”

Section: Introductionmentioning

confidence: 99%

Input‐constrained optimal output synchronization of heterogeneous multiagent systems via observer‐based model‐free reinforcement learning

Zhang

Jia

2023

Asian Journal of Control

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This paper presents a new formulation of input‐constrained optimal output synchronization problem and proposes an observer‐based distributed optimal control protocol for discrete‐time heterogeneous multiagent systems with input constraints via model‐free reinforcement learning. First, distributed adaptive observers are designed for all agents to estimate the leader's trajectory without requiring its dynamics knowledge. Subsequently, the optimal control input associated with the optimal value function is derived based on the solution to the tracking Hamilton‐Jacobi‐Bellman equation, which is always difficult to solve analytically. To this end, motivated by reinforcement learning technique, a model‐free Q‐learning policy iteration algorithm is proposed, and the actor‐critic neural network structure is implemented to iteratively find the optimal tracking control input without knowing system dynamics. Moreover, inputs of all agents are constrained in the permitted bounds by inserting a nonquadratic function into the performance function, where input constraints are encoded into the optimization problem. Finally, a numerical simulation example is provided to illustrate the effectiveness of the proposed theoretical results.

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Distributed cooperative control for parallel direct current–direct current buck converters based on multi‐agent consensus theory

Cited by 3 publications

References 32 publications

A cooperative control method and application for series multivariable coupled system

A cooperative control method and application for series multivariable coupled system

Distributed cooperative control of multi‐converter systems via networks

Input‐constrained optimal output synchronization of heterogeneous multiagent systems via observer‐based model‐free reinforcement learning

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